nnAudio
An audio processing toolbox using PyTorch 1D convolutional neural networks for on-the-fly spectrogram generation with trainable kernels.
What is nnAudio?
nnAudio is an audio processing toolbox that uses PyTorch 1D convolutional neural networks to generate spectrograms and other audio features on-the-fly during neural network training. It solves the problem of integrating audio preprocessing into deep learning pipelines by making transformations differentiable and allowing kernels to be trainable, unlike traditional static audio libraries.
Researchers and developers working on audio deep learning projects, such as music information retrieval, speech processing, or sound classification, who need trainable and GPU-accelerated audio preprocessing within PyTorch.
Developers choose nnAudio because it offers trainable audio kernels and seamless integration with PyTorch, enabling end-to-end differentiable audio processing that outperforms libraries like torchaudio in cross-platform compatibility and flexibility.
Overview
Audio processing by using pytorch 1D convolution network
Use Cases
Best For
- Training neural networks with learnable audio feature extractors
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